Research lab
Detect, investigate and prevent fraudulent traffic.
Traffic Fraud Lab publishes practical guides on click fraud, invalid traffic, affiliate abuse, lead fraud and the evidence that separates suspicion from a decision.
Latest research
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Affiliate Fraud Prevention: A Practical Guide to Safer Partnerships and Cleaner Payouts
Affiliate fraud prevention is not one blocking rule. It is a control system that combines careful onboarding, transparent tracking, traffic validation, conversion review, evidence-based investigations and payout discipline.
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Affiliate Fraud Detection: How to Investigate Suspicious Affiliates, Traffic and Conversions
A practical framework for detecting affiliate fraud, validating traffic, investigating suspicious conversions and taking proportionate action without creating false positives.
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Affiliate Fraud: How to Detect Click, Attribution, Lead and Commission Abuse
Affiliate fraud can inflate clicks, hijack attribution, generate fake leads and redirect commissions away from legitimate partners. This practical guide explains the main fraud patterns, the evidence to…
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Traffic Fraud Investigation Checklist: A Repeatable Process for Finding Suspicious Traffic
A practical, evidence-led traffic fraud investigation checklist for paid media, affiliate and lead programs. Examine source quality, click behavior, attribution, conversion patterns and downstream outcomes before deciding whether…
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Traffic Fraud Detection Signals: A Practical Guide to Suspicious Traffic
Traffic fraud detection depends on combinations of observable signals, not one suspicious IP address or an unusually high conversion rate. This guide explains how to evaluate behavioral, technical,…
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Traffic Fraud Detection Methods: Rules, Heuristics, Behaviour and Machine Learning
Traffic fraud detection is not a single filter. This guide compares rules, heuristics, behavioural analysis and machine learning, and explains how to investigate suspicious clicks, leads and conversions…
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Traffic Fraud vs Payment Fraud: What Marketers Need to Know
Traffic fraud and payment fraud can both create financial losses, but they happen at different points in the customer journey and require different evidence, controls and tools. This…
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Traffic Fraud vs Click Fraud: What Is the Difference and How Should You Investigate It?
Click fraud is one form of traffic fraud, but the two terms are not interchangeable. This practical comparison explains the difference, shows how incidents expand beyond fraudulent clicks,…
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Types of Traffic Fraud: A Practical Guide to Clicks, Leads, Attribution and Conversions
Traffic fraud is not one behavior or one detection problem. This guide classifies digital traffic fraud by the layer it manipulates, explains realistic examples, and shows how to…